Translator Disclaimer
24 January 2012 Masking mediated print defect visibility predictor
Author Affiliations +
Banding is a well-known artifact produced by printing systems. It usually appears as lines perpendicular to the process direction of the print. Therefore, banding is an important print quality issue which has been analyzed and assessed by many researchers. However, little literature has focused on the study of the masking effect of content for this kind of print quality issue. Compared with other image and print quality research, our work is focused on the print quality of typical documents printed on a digital commercial printing press. In this paper, we propose a Masking Mediated Print Defect Visibility Predictor (MMPDVP) to predict the visibility of defects in the presence of customer content. The parameters of the algorithm are trained from ground-truth images that have been marked by subjects. The MMPDVP could help the press operator decide whether the print quality is acceptable for specific customer requirements. Ultimately, this model can be used to optimize the print-shop workflow.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaochen Jing, Hila Nachlieli, Doron Shaked, Smadar Shiffman, and Jan P. Allebach "Masking mediated print defect visibility predictor", Proc. SPIE 8293, Image Quality and System Performance IX, 82930R (24 January 2012);


Automated image quality assessment
Proceedings of SPIE (September 07 1993)
Visual masking at video scene cuts
Proceedings of SPIE (April 19 1995)
Task Specific Complexity Metrics For Electronic Vision
Proceedings of SPIE (June 23 1988)
Interpolative Coding Based On A Model Of HVS
Proceedings of SPIE (October 13 1987)

Back to Top